lisan-Hopfield-Shenjingwangluo

多元统计方法是处理高维、相关数据的有效工具，其首先 在化工过程的故障检测中得到成功应用，后也被应用于其他的 工业过程(Multivariate statistical methods to deal with high dimension and effective tool for data, the first fault detection in chemical process has been successfully applied, the latter also used in other industrial processes)

模型预测源文件，可以预测相关的模型，含有清晰的注释。(Model can predict the source file, predict related model, contains clear comments.)

动态图像中的面部识别，基于matlab。可以通过特征识别找出ID(Dynamic image of facial recognition, based on matlab. You can find the feature recognition by ID)

BEARINGANALYSIS MATLAB code for bearingAnalysis.fig BEARINGANALYSIS, by itself, creates a new BEARINGANALYSIS or raises the existing singleton*. H = BEARINGANALYSIS returns the handle to a new BEARINGANALYSIS or the handle to the existing singleton*. BEARINGANALYSIS( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in BEARINGANALYSIS.M with the given input arguments. BEARINGANALYSIS( Property , Value ,...) creates a new BEARINGANALYSIS or raises the existing singleton*. Starting from the left, property value pairs are applied to the GUI before bearingAnalysis_OpeningFcn gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to bearingAnalysis_OpeningFcn via varargin. *See GUI Options on GUIDE s Tools menu. Choose "GUI allows only one instance to run (singleton)".

地杂波雷达的maltab的仿真程序的演示(The places Miscellaneous the radar of maltab simulation program shows)

有较好的参考价值，详细画出了时域和频域的相关图，使用大量的有限元法求解偏微分方程。( There are good reference value, Correlation diagram shown in detail the time domain and frequency domain, Using a large number of finite element method to solve partial differential equations.)

Le fichier "MLI_V7.mdl" permet de simuler avec matlab 7 les modulations de largeurs d impulsions vectorielle sinus/triangle, sinus/dents de scie avec ou sans chute de tensions. Les paramètres des diodes et IGBT sont paramétrables en cliquant sur le bloc MLI.

PROGRAM IS USED FOR PARALLEL PORT CHECKING WITH HELP OF MATLAB.

Input: X, training data, dim*num Y, training data labels, num*class para.alpha, para.beta, regularization parameters para.rd, reduced dimensionality Web Image Annotation via Subspace-Sparsity Collaborated Feature Selection. Zhigang Ma, Feiping Nie, Yi Yang, Jasper Uijlings, and Nicu Sebe. IEEE Transactions on Multimedia (TMM) 14(4):1021-1030, 2012.

基于MATLAB的直扩超宽带通信仿真程序(MATLAB-based DS-UWB simulation program)